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» Nearest Neighbor Distributions and Noise Variance Estimation
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ICASSP
2011
IEEE
12 years 10 months ago
Non-linear noise compensation for robust speech recognition using Gauss-Newton method
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
Yong Zhao, Biing-Hwang Juang
CORR
2008
Springer
112views Education» more  CORR 2008»
13 years 6 months ago
Distributed Estimation over Wireless Sensor Networks with Packet Losses
A distributed adaptive algorithm to estimate a time-varying signal, measured by a wireless sensor network, is designed and analyzed. The presence of measurement noises and of packe...
Carlo Fischione, Alberto Speranzon, Karl Henrik Jo...
TCS
2010
13 years 4 months ago
Active learning in heteroscedastic noise
We consider the problem of actively learning the mean values of distributions associated with a finite number of options. The decision maker can select which option to generate t...
András Antos, Varun Grover, Csaba Szepesv&a...
ICMCS
2006
IEEE
85views Multimedia» more  ICMCS 2006»
14 years 6 days ago
Prefilter Control Scheme for Low bitrate TV Distribution
In IP-based TV distribution, coding degradation is sometimes evident in critical scenes because the bit rate for compression is rather low. Prefiltering is an effective counterme...
Ryoichi Kawada, Atsushi Koike, Yasuyuki Nakajima
NIPS
2008
13 years 7 months ago
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
John W. Roberts, Russ Tedrake